Industrial Process Engineer - Material Flow

Job Description

Job Description

Industrial Process Engineer – Material Flow & Autonomous Operations

Position Summary

The Industrial Process Engineer will drive the development, standardization, and optimization of autonomous material flow strategies supporting enterprise-wide AGV and AMR deployment initiatives. This role will be responsible for designing scalable material delivery processes, optimizing warehouse and line-side replenishment systems, and developing best practices that can be deployed consistently across multiple manufacturing facilities. The successful candidate will blend industrial engineering principles with automation strategy to support the future of autonomous

manufacturing logistics.

Key Responsibilities

Material Flow Engineering

• Develop and optimize material flow processes supporting AGV and AMR operations.
• Design line-side delivery, warehouse replenishment, and inventory movement strategies.
• Evaluate transportation methods, routing concepts, storage requirements, and material staging approaches.

Process Optimization

• Conduct capacity analysis, cycle time studies, bottleneck analysis, and labor utilization evaluations.
• Optimize space utilization and inventory flow throughout manufacturing operations.
• Support creation of standard work for manual and automated material handling processes.

Enterprise Standards Development

• Develop scalable best practices supporting AGV deployment across multiple GM facilities.
• Establish process standards, KPIs, operational metrics, and deployment methodologies.
• Partner with manufacturing and logistics teams to ensure sustainable implementation.

Data Analytics & Continuous Improvement

• Analyze operational performance data and identify improvement opportunities.
• Develop dashboards, reports, and analytical tools supporting decision making.
• Utilize SharePoint, reporting systems, and manufacturing analytics tools to support deployment initiatives.

Automation Integration

• Provide technical guidance on AGV, AMR, robotics, conveyor, and automation integration strategies.
• Collaborate with controls, commissioning, logistics, warehouse, and manufacturing organizations.
• Support continuous improvement programs aligned with Lean Manufacturing and Industry 4.0 initiatives.

Required Qualifications

• Bachelor's degree in Industrial Engineering, Manufacturing Engineering, Supply Chain Engineering, Mechanical Engineering, or related discipline.
• 3-7 years of industrial engineering, material flow, logistics, or manufacturing process experience.
• Strong understanding of Lean Manufacturing principles.
• Experience with material flow optimization and production systems.
• Capacity analysis, bottleneck analysis, and cycle-time study experience.
• Strong analytical, presentation, and cross-functional collaboration skills.

Preferred Qualifications

• AGV, AMR, warehouse automation, or autonomous material handling experience.
• PFEP (Plan for Every Part) experience.
• ERP, WMS, MES, or supply chain systems knowledge.
• Digital Twin or simulation platform experience.
• Automotive manufacturing experience.

Experience supporting enterprise standards or Center of Excellence organizations

This is a Contract position based out of Warren, MI.

The pay range for this position is $35.00 - $44.00/hr.

Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following: • Medical, dental & vision • Critical Illness, Accident, and Hospital • 401(k) Retirement Plan – Pre-tax and Roth post-tax contributions available • Life Insurance (Voluntary Life & AD&D for the employee and dependents) • Short and long-term disability • Health Spending Account (HSA) • Transportation benefits • Employee Assistance Program • Time Off/Leave (PTO, Vacation or Sick Leave)

This is a fully onsite position in Warren,MI.

This position is anticipated to close on Aug 24, 2026.

About Actalent

Actalent is a global leader in engineering and sciences services and talent solutions. We help visionary companies advance their engineering and science initiatives through access to specialized experts who drive scale, innovation and speed to market. With a network of almost 20,000 consultants and 5,000 clients across the U.S., Canada, Asia and Europe, Actalent serves many of the Fortune 500. We are proud to be an Engineering News-Record (ENR) Top 500 Design Firm for our engineering design services and a ClearlyRated Best of Staffing® winner for both client and talent service.

The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

If you would like to request a reasonable accommodation, such as the modification or adjustment of the job application process or interviewing process due to a disability, please email View email address on ziprecruiter.com for other accommodation options.

San Francisco Fair Chance Ordinance: Pursuant to the San Francisco Fair Chance Ordinance, for all positions located in the city and county of San Francisco, we will consider for employment qualified applicants with arrest and conviction records.

Massachusetts Lie Detector: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of our hiring process, including sourcing, screening, and evaluating candidates. AI helps assess applications and qualifications, but final decisions are made by our hiring team. By applying, you acknowledge and agree that your application may be reviewed using AI tools.